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ChIP-chip from mouse embryonic stem (mES) cells

ABSTRACT: c-Myc (Myc) is an important transcriptional regulator in embryonic stem (ES) cells, somatic cell reprogramming, and cancer, yet functionally differs from the core pluripotency transcription factors, such as Oct4, Sox, and Nanog. Here, we identify a Myc-centered regulatory network in ES cells by combining protein-protein interaction and protein-DNA interaction studies, and show that Myc interacts with the NuA4 histone acetyltransferase complex, previously identified as a critical regulator in ES cell identity. In combination with previously studied transcriptional regulatory network information, we construct three ES cell modules (Core, Polycomb, and Myc) and show that these modules are functionally separable in ES, iPS, MEFs, and partial iPS cells, suggesting that the overall ES cell transcription program is comprised of distinct functional units. With these regulatory modules as an analytical tool, we have reassessed data suggesting that cancer cells reactivate an ES cell-like transcriptional program. We find that the Myc module, independent of the Core module, is active in various cancers and predicts cancer outcome. These observations argue against the hypothesis linking an embryonic gene expression signature with cancer or cancer stem cells. The apparent similarity of cancer and ES cell signatures reflects in large part the pervasive nature of Myc regulatory network. Keywords: Biotin-mediated Chip-chip, Antibody ChIP-chip, Mouse embryonic stem cells

ORGANISM(S): Mus musculus

PROVIDER: GSE20551 | GEO | 2010/10/14

SECONDARY ACCESSION(S): PRJNA125311

REPOSITORIES: GEO

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Project description:Chavez2009 - a core regulatory network of OCT4 in human embryonic stem cells A core OCT4-regulated network has been identified as a test case, to analyase stem cell characteristics and cellular differentiation. This model is described in the article: In silico identification of a core regulatory network of OCT4 in human embryonic stem cells using an integrated approach. Chavez L, Bais AS, Vingron M, Lehrach H, Adjaye J, Herwig R BMC Genomics, 2009, 10:314 Abstract: BACKGROUND: The transcription factor OCT4 is highly expressed in pluripotent embryonic stem cells which are derived from the inner cell mass of mammalian blastocysts. Pluripotency and self renewal are controlled by a transcription regulatory network governed by the transcription factors OCT4, SOX2 and NANOG. Recent studies on reprogramming somatic cells to induced pluripotent stem cells highlight OCT4 as a key regulator of pluripotency. RESULTS: We have carried out an integrated analysis of high-throughput data (ChIP-on-chip and RNAi experiments along with promoter sequence analysis of putative target genes) and identified a core OCT4 regulatory network in human embryonic stem cells consisting of 33 target genes. Enrichment analysis with these target genes revealed that this integrative analysis increases the functional information content by factors of 1.3 - 4.7 compared to the individual studies. In order to identify potential regulatory co-factors of OCT4, we performed a de novo motif analysis. In addition to known validated OCT4 motifs we obtained binding sites similar to motifs recognized by further regulators of pluripotency and development; e.g. the heterodimer of the transcription factors C-MYC and MAX, a prerequisite for C-MYC transcriptional activity that leads to cell growth and proliferation. CONCLUSION: Our analysis shows how heterogeneous functional information can be integrated in order to reconstruct gene regulatory networks. As a test case we identified a core OCT4-regulated network that is important for the analysis of stem cell characteristics and cellular differentiation. Functional information is largely enriched using different experimental results. The de novo motif discovery identified well-known regulators closely connected to the OCT4 network as well as potential new regulators of pluripotency and differentiation. These results provide the basis for further targeted functional studies. This model is hosted on BioModels Database and identified by: MODEL1305010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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ChIP-chip from mouse embryonic stem (mES) cells

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